BD novel-writer
专业小说写作引擎V3.2，支持短篇（3章）到超长篇（500万字）。内置AI味量化检测、四层质检、伏笔管理、角色状态追踪、断点续传。 自动根据字数裁剪流程：短篇模式（<10章）/ 中篇模式（10-50章）/ 长篇模式（50章+）。 触发场景：写小说、小说大纲、小说创作、网文写作、长篇小说、百万字小说、章节规划、 角色设定、世界观设定、小说细纲、写正文、续写小说、改写章节、检查质量、导入已有小说。 核心红线：大纲未完成前，禁止动笔写正文。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (novel-writer) differs from the folder (novel-writer-engine)
- 100Tools and files. No external tools needed
- 100Steps. 15 steps
- 100Execution cost. Instruction body is 568 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 219: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 15 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This is a text-only novel-writing workflow whose file reading and saving behavior matches its stated purpose, with some user-control caveats.
LLM: benign (high) · VirusTotal: · 29 May 2026